Stanford-ILIAD / PantheonRLLinks
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
☆148Updated last year
Alternatives and similar repositories for PantheonRL
Users that are interested in PantheonRL are comparing it to the libraries listed below
Sorting:
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- Datasets with baselines for offline multi-agent reinforcement learning.☆170Updated 3 weeks ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆181Updated 8 months ago
- Gridworld for MARL experiments☆140Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆314Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆156Updated 2 months ago
- ☆111Updated 2 years ago
- Code for "On the Utility of Learning about Humans for Human-AI Coordination"☆108Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆168Updated 3 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆122Updated 3 years ago
- ☆250Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆352Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆216Updated last year
- ☆229Updated 6 months ago
- ☆196Updated 2 years ago
- A tool for aggregating and plotting MARL experiment data.☆77Updated 4 months ago
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- Partially Observable Process Gym☆190Updated 10 months ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆74Updated last year
- (NeurIPS '21 Spotlight) IQ-Learn: Inverse Q-Learning for Imitation☆218Updated 2 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆303Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆68Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆131Updated 2 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆319Updated 9 months ago
- This is a repository for Hidden-utility Self-Play.☆26Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆160Updated 2 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆46Updated 8 months ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 4 months ago